I'm a data architect with over 15 years of experience in designing and optimizing large-scale data pipelines within the Fintech sector. I have successfully led global engineering teams to handle over 500 TBs of sensitive…
I'm a data architect with over 15 years of experience in designing and optimizing large-scale data pipelines within the Fintech sector. I have successfully led global engineering teams to handle over 500 TBs of sensitive data, saving companies millions by automating processes and minimizing manual tasks.
Enhanced and optimized data pipeline by adding automated routing feature, achieving a 20% increase in data processing efficiency.
Improved system monitoring by centralizing log management, simplifying data analysis and decreasing ownership costs by 15%.
Achieved $600K in annual savings for the organization by conducting thorough assessments of cloud infrastructure, streamline CICD pipeline using terraform and AWS SDK to consolidate monitoring jobs and enhanced efficiency with reduced costs.
Achieved 40% improvement in job execution times and a 33% reduction in operational overhead by Successfully migrating legacy Python batch jobs to AWS EKS, utilizing Argo framework for enhanced management and monitoring.
Developed comprehensive best practices for infrastructure deployment, resulting in streamlined processes and standardized configurations across the organization.
Spearheaded the implementation of a cutting-edge question and answer system using the RAG framework for an in-house monitoring application, significantly improving issue resolution for over 500 engineers.
● Enhanced and optimized data pipeline by adding automated routing feature, achieving a 20% increase in data processing efficiency.
● Improved system monitoring by centralizing log management, simplifying data analysis and decreasing ownership costs by 15%.
● Achieved $600K in annual savings for the organization by conducting thorough assessments of cloud infrastructure, streamline CICD pipeline using terraform and AWS SDK to consolidate monitoring jobs and enhanced efficiency with reduced costs.
● Achieved 40% improvement in job execution times and a 33% reduction in operational overhead by Successfully migrating legacy Python batch jobs to AWS EKS, utilizing Argo framework for enhanced management and monitoring.
● Developed comprehensive best practices for infrastructure deployment, resulting in streamlined processes and standardized configurations across the organization.
● Spearheaded the implementation of a cutting-edge question and answer system using the RAG framework for an in-house
Implemented and matured a data pipeline capable of processing 500 TBs of highly sensitive data
By automating the dataset creation process, we eliminated the need for manual intervention, which previously required 5 development days, resulting in a cost savings of $10 million.
Saved >5 PBs by applying optimization technique and shrinking the data set to 2% of its original size.
Lead a team of 15 engineers in a global setting to increase the data quality of the Core dataset
Reduced the total cost of ownership by 18% by leading the migration of on-premises data processing jobs to Snowflake.
Proficient at designing data models, especially in regarding ATO (account takeover) and user session validations for offline fraud data marts which contribute Reduced fraud rate over 40 percent
Proficient at developing data strategy and aligning it with business objectives. Identifying the types of data that are relevant to organizations, determining how data should be collected, stored, and used, and establishing policies for data governance, security, and privacy
Familiar with Kafka and ETL tools such as Informatica and ab initio
Proficient in working with cloud services and developing solutions on AWS cloud
Strong background working with various SQL, NoSQL database technologies in a complex, highly available and scalable environment
Have extensive knowledge working with data security technologies both in transit and at rest
Successfully built teams in the various parts of the company.
Led and managed many critical projects in merchant reporting, fraud detection, and compliance domains
Awarded as a top talent
Architected Paypal's first low latency data ingestion platform capable of handling hundreds of datasets with high availability capabilities.
Designed and implemented a data processing platform for providing data insight for Paypal merchants.
Developed data movement platform to replicate data from Paypal OLTP databases to multiple downstream data marts which have restartable components, an advanced concept at the time
Designed and implemented a large-scale ETL system to transfer vast amounts of data from OLTP systems to an OLAP environment.
This system enhances business operations by streamlining the reconciliation process, improving fraud control, and enabling detailed transaction reporting.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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